Joint Feature Learning for Face Recognition

Joint Feature Learning for Face Recognition

This paper presents a new joint feature learning (JFL) approach to automatically learn feature representation from raw pixels for face recognition. Unlike many existing face recognition systems, where conventional feature descriptors, such as local binary patterns and Gabor features, are used for fa...

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Bibliographic Details
Main Authors: Lu, Jiwen, Liong, Venice Erin, Wang, Gang, Moulin, Pierre
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2016
Subjects:
Face recognition
Feature learning
Online Access:https://hdl.handle.net/10356/81670
http://hdl.handle.net/10220/40924

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